Vibratory analysis of a public bus and evaluation of health, comfort and perception

2018 ◽  
Author(s):  
Jonnifer Conç ◽  
Bernardo Moreno ◽  
Oscar Acosta ◽  
Wendy Katherine García Cruz
Keyword(s):  
Vibratory Analysis

Preventive maintenance by vibratory analysis: case study

2015 ◽  
Vol 4 (8) ◽  
pp. 450-455
Author(s):  
Amal Boukili ◽  
Mohammed El Hammoumi
Keyword(s):  
Preventive Maintenance ◽  
Vibratory Analysis

Analysis of Unbalanced Magnetic Pull Calculation in Generators With Two Pole Pairs

2009 ◽  
Author(s):  
Lucia Frosini ◽  
Paolo Pennacchi ◽  
Carlo Maria Stoisser
Keyword(s):  
Time Instant ◽  
Harmonic Spectrum ◽  
Dynamical Behaviour ◽  
Air Gap ◽  
Dynamic Effects ◽  
Accurate Calculation ◽  
Unbalanced Magnetic Pull ◽  
Turbo Generator ◽  
Vibratory Analysis ◽  
Linear Effects

The modelling of the unbalanced magnetic pull (UMP) and the analysis of its effects on the dynamical behaviour of a large turbo-generator are presented in this paper. The UMP is the consequence of the electromagnetic forces acting upon rotor and stator generator surfaces and depends on the non-uniform air-gap distribution between rotor and stator. The flexibility and the dynamic effects on the generator behaviour are taken into account by an accurate calculation of the air-gap distribution depending on the position in a generic time instant of the rotor inside the stator. The method is then applied for the vibratory analysis of a two pole pair generator of a steam turbo-set: the harmonic spectrum of the UMP is evaluated and the presence of non-linear effects highlighted.

scholarly journals Doppler Optical Coherence Tomography for Otology Applications: From Phantom Simulation to In Vivo Experiment

2021 ◽  
Vol 11 (12) ◽  
pp. 5711
Author(s):  
Daewoon Seong ◽  
Changho Lee ◽  
Mansik Jeon ◽  
Jeehyun Kim
Keyword(s):  
Optical Coherence Tomography ◽  
Morphological Structure ◽  
Structural Data ◽  
Optical Coherence ◽  
Surgical Operation ◽  
Doppler Oct ◽  
Vibratory Analysis ◽  
Functional Extension ◽  
Clinical Experiments

In otology, visualization and vibratory analysis have been crucial to enhance the success of diagnosis and surgical operation. Optical coherence tomography (OCT) has been employed in otology to obtain morphological structure of tissues non-invasively, owing to the ability of measuring the entire region of tympanic membrane, which compensates the limitations of conventional methods. As a functional extension of OCT, Doppler OCT, which enables the measurement of the motion information with structural data of tissue, has been applied in otology. Over the years, Doppler OCT systems have been evolved in various forms to enhance the measuring sensitivity of phase difference. In this review, we provide representative algorithms of Doppler OCT and various applications in otology from preclinical analysis to clinical experiments and discuss future developments.

Comparison of denoising methods for the early detection of fatigue bearing defects by vibratory analysis

2011 ◽  
Vol 17 (13) ◽  
pp. 1983-1993 ◽  
Author(s):  
F Bolaers ◽  
O Cousinard ◽  
P Estocq ◽  
X Chiementin ◽  
J-P Dron
Keyword(s):  
Early Detection ◽  
Background Noise ◽  
Good Condition ◽  
Ball Bearings ◽  
Crest Factor ◽  
Vibratory Signal ◽  
Bearing Defects ◽  
Vibratory Analysis ◽  
Rolling Element ◽  
Random Impulse

The aim of this article is to show the interest of three major denoising methods for the improvement of the sensitivity of scalar indicators (crest factor, kurtosis) within the application of conditional maintenance by vibratory analysis on ball bearings. The case of a bearing in good condition of use is considered. The distribution of amplitudes in the vibratory signal is of the Gaussian kind. When the bearing is damaged, the appearance of spalling comes to disturb this signal, modifying this distribution. This modification is due to the presence of periodical impulses produced each time a rolling element meets a discontinuity on its way. Nevertheless, the presence of background noise induced by random impulse excitations can have an influence on the values of these temporal indicators. The denoising of these signals allows to improve the sensitivity of these indicators and to increase the reliability of the diagnosis.

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